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[EuroSys'21] Tripoline:Generalized Incremental Graph Processing via Graph Triangle Inequality (Long)
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation - P. M. Grulich @ SIGMOD '20
Processing 1M Identity Graphs per Second with Spark Structured Streaming
Research Track 14 : Query Processing 3
State-of-the-art query processing layer | Why is ClickHouse fast (Part 6)
Shift left to write data once, read as tables or streams
GraphRAG vs. Traditional RAG: Higher Accuracy & Insight with LLM
VLDB 2020: Shared Arrangements: practical inter-query sharing for streaming dataflows
ICDE 2020 Talk: Turbine: Facebook’s Service Management Platform for Stream Processing
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Last Updated: September 22, 2026
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Video presentation of the paper Presenter: Philipp Götze Presentation: drive.google.com/file/d/1kkekNs1zXXkZweBfOkHv4vnnT8DlcXXe/view?usp=sharing ... For compute-intensive iterative Adobe Experience Platform's Identity Table of Contents (powered by videoken.com) 0:00:11 [Talk: This sixth installment in our series on ClickHouse performance explores the powerful vectorized Shift Left is a rethink of how we circulate, share and manage data in our organizations using DataStreams, Change Data Capture, ... Want to learn more about Want to learn more about Generative AI + Machine Learning? Read the ebook here ... Guy Blelloch (Carnegie Mellon University) simons.berkeley.edu/talks/guy-blelloch-carnegie-mellon-university-2023-09-18 ... A promotion video of Ko, Jihoon, Yunbum Kook, Kijung Shin, "Incremental Lossless The Systems Group at ETH Channel presents the Systems Group research
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